Qatar Mobility Innovations Center: Recent submissions
Now showing items 81-100 of 219
-
An Improved Dilated Convolutional Network for Herd Counting in Crowded Scenes
( Institute of Electrical and Electronics Engineers Inc. , 2020 , Conference)Crowd management technologies that leverage computer vision are widespread in contemporary times. There exists many security-related applications of these methods, including, but not limited to: following the flow of an ... -
Addressing Data Sparsity with GANs for Multi-fault Diagnosing in Emerging Cellular Networks
( Institute of Electrical and Electronics Engineers Inc. , 2022 , Conference)Data-driven machine learning is considered a means to address the paramount challenge of timely fault diagnosis in modern and futuristic ultra-dense and highly complex mobile networks. Whereas diagnosing multiple faults ... -
Deep Learning-based Framework for Multi-Fault Diagnosis in Self-Healing Cellular Networks
( Institute of Electrical and Electronics Engineers Inc. , 2022 , Conference)Fault diagnosis is turning out to be an intense challenge due to the increasing complexity of the emerging cellular networks. The root-cause analysis of coverage-related network anomalies is traditionally carried out by ... -
Bluetooth-Based Vehicle Counting: Bridging the Gap to Ground-Truth With Machine Learning
( Institute of Electrical and Electronics Engineers Inc. , 2023 , Article)Traffic flow, number of vehicles passing a particular point over a given period of time, is an essential indicator for evaluating the performance and condition of road networks, detecting congestion, and predicting traffic ... -
On the Detection of Unauthorized Drones - Techniques and Future Perspectives: A Review
( Institute of Electrical and Electronics Engineers Inc. , 2022 , Article)The market size of civilian drones is tremendously increasing and is expected to reach 1.66 million by the end of 2023. The increase in number of civilian drones poses several privacy and security threats. To safeguard ... -
A Data-Driven Self-Optimization Solution for Inter-Frequency Mobility Parameters in Emerging Networks
( Institute of Electrical and Electronics Engineers Inc. , 2022 , Article)Densification and multi-band operation means inter-frequency handovers can become a bottleneck for mobile user experience in emerging cellular networks. The challenge is aggravated by the fact that there does not exist a ... -
Mobility Analytics of Fans During the 2021 FIFA Arab Cup Football Tournament in Qatar
( Institute of Electrical and Electronics Engineers Inc. , 2023 , Article)The FIFA Arab Cup, a test event for the 2022 FIFA World Cup, took place in Qatar from November to December 2021. The event showcased 32 matches across six venues that will also be utilized in the World Cup. This paper ... -
A Hybrid Deep Learning-Based (HYDRA) Framework for Multifault Diagnosis Using Sparse MDT Reports
( Institute of Electrical and Electronics Engineers Inc. , 2022 , Article)Diminishing viability of manual fault diagnosis in the increasingly complex emerging cellular network has motivated research towards artificial intelligence (AI)-based fault diagnosis using the minimization of drive test ... -
Proxy-CPM: A collaborative high definition map update for autonomous and connected vehicles
( Institute of Electrical and Electronics Engineers Inc. , 2023 , Conference)Autonomous cooperative driving systems enable the safe operation of autonomous vehicles. However, the effectiveness of these systems is hindered by the challenge of promptly accessing necessary traffic data. High-definition ... -
Analyzing Riding Activities on the World's Longest Continuous Cycling Path Using Non-Intrusive IoT Sensors
( Institute of Electrical and Electronics Engineers Inc. , 2022 , Conference)On February 2020, Qatar entered the Guinness World Record by opening the world's longest continuous cycling track developed by the Public Works Authority - Ashghal. Gaining insights of the usage of the so called Olympic ... -
High definition map update for autonomous and connected vehicles: A survey
( Institute of Electrical and Electronics Engineers Inc. , 2022 , Conference)As making the right decision is a key element in autonomous driving systems, perfect knowledge of the traffic environment is necessary in order to avoid dangerous situations. Autonomous vehicles rely on a set of sensors ... -
Unauthorized Drone Detection: Experiments and Prototypes
( Institute of Electrical and Electronics Engineers Inc. , 2022 , Conference)The increase in the number of unmanned aerial vehicles a.k.a. drones pose several threats to public privacy, critical infrastructure and cyber security. Hence, detecting unauthorized drones is a significant problem which ... -
CSSA MAC: Carrier sense with slotted-Aloha multiple access MAC in vehicular network
( Inderscience Publishers , 2018 , Article)IEEE 802.11p and 1609.4 are key layers in the WAVE architecture. They have been chosen to work as random medium multiple accesses with a multichannel switching scheme between SCH to CCH. This paper tackles the 'start-of-interval ... -
Infrastructure-assisted joint power adaptation and routing for heterogeneous vehicular networks
( Elsevier , 2019 , Article)In vehicular networks, protocols and algorithms rely on the in-network status information and its delivery via control messages for their operations. Using the same wireless channel for data and control message transmissions ... -
Object Depth and Size Estimation Using Stereo-Vision and Integration with SLAM
( Institute of Electrical and Electronics Engineers Inc. , 2024 , Article)Autonomous robots use simultaneous localization and mapping (SLAM) for efficient and safe navigation in various environments. Light Detection and Ranging (LiDAR) sensors are integral in these systems for object identification ... -
A top-down approach for building realistic reference scenarios and simulation framework for LTE C-V2X communications
( Elsevier , 2023 , Article)Many vehicle-to-everything (V2X) applications and use cases require their feasibility to be simulated, tested, and validated in realistic traffic scenarios and under various network conditions before real-time testbed ... -
COVID-19 pandemic impacts on traffic system delay, fuel consumption and emissions
( Elsevier , 2021 , Article)A dramatic reduction in traffic demand has been observed during the COVID-19 pandemic, producing noticeable declines in traffic delays, energy consumption, and emissions. This unprecedented event provides us with the chance ... -
Investigation on cellular LTE C-V2X network serving vehicular data traffic in realistic urban scenarios
( Elsevier , 2024 , Article)The need for reliable vehicular communication is an essential precondition of future Cooperative Intelligent Transportation Systems (C-ITS). The C-ITS applications and their diverse requirements necessitate a hybrid approach ... -
A Framework to Address Mobility Management Challenges in Emerging Networks
( Institute of Electrical and Electronics Engineers Inc. , 2023 , Article)The key enablers for emerging cellular networks (such as densification, concurrent operation at multiple bands, and harnessing mmWave spectrum), give birth to a peculiar set of new network management challenges. One such ... -
Haris: An Advanced Autonomous Mobile Robot for Smart Parking Assistance
( Institute of Electrical and Electronics Engineers Inc. , 2024 , Conference)This paper presents Haris, an advanced autonomous mobile robot system for tracking the location of vehicles in crowded car parks using license plate recognition. The system employs simultaneous localization and mapping ...
